class_docstr: Tests for the ``optimize_measurements`` function.
docstr: Tests if coefficients are properly re-structured even if the same
  terms appear multiple times.
  
  Although it should be fair to assume that the terms are unique in the
  Hamiltonian, making sure that grouping happens even with terms appearing
  multiple times can ensure that there is no unexpected behaviour.
docstr_tok: ["Tests","if","coefficients","are","properly","re-structured","even","if","the","same","terms","appear","multiple","times",".","Although","it","should","be","fair","to","assume","that","the","terms","are","unique","in","the","Hamiltonian",",","making","sure","that","grouping","happens","even","with","terms","appearing","multiple","times","can","ensure","that","there","is","no","unexpected","behaviour","."]
code: def test_optimize_measurements_qwc_term_multiple_times(self, obs):
      """Tests if coefficients are properly re-structured even if the same
      terms appear multiple times.
  
      Although it should be fair to assume that the terms are unique in the
      Hamiltonian, making sure that grouping happens even with terms appearing
      multiple times can ensure that there is no unexpected behaviour.
      """
      coefficients = [1.43, 4.21]
  
      grouped_coeffs_sol = [[1.43, 4.21]]
  
      grouped_coeffs = optimize_measurements(
          obs, coefficients, grouping="qwc", colouring_method="rlf"
      )[2]
  
      assert len(grouped_coeffs) == len(grouped_coeffs)
  
      assert all(
          np.allclose(grouped_coeffs[i], grouped_coeffs_sol[i])
          for i in range(len(grouped_coeffs_sol))
      )
  
file_path: pennylane/tests/pauli/grouping/test_pauli_optimize_measurements.py
imports: import pytest
  import numpy
  from pennylane import Identity, PauliX, PauliY, PauliZ
  from pennylane.pauli import are_identical_pauli_words
  from pennylane.pauli.grouping.optimize_measurements import optimize_measurements
label_desc: Use image node_id 3 for calling the TestOptimizeMeasurements obj's underlying member method code with example usage: obj.test_optimize_measurements_qwc_term_multiple_times(obs) without return types